Image quality assessment using deep learning in high b-value diffusion-weighted breast MRI

The objective of this IRB approved retrospective study was to apply deep learning to identify magnetic resonance imaging (MRI) artifacts on maximum intensity projections (MIP) of the breast, which were derived from diffusion weighted imaging (DWI) protocols. The dataset consisted of 1309 clinically...

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Detalles Bibliográficos
Autores principales: Kapsner, Lorenz A., Balbach, Eva L., Folle, Lukas, Laun, Frederik B., Nagel, Armin M., Liebert, Andrzej, Emons, Julius, Ohlmeyer, Sabine, Uder, Michael, Wenkel, Evelyn, Bickelhaupt, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10310703/
https://www.ncbi.nlm.nih.gov/pubmed/37386021
http://dx.doi.org/10.1038/s41598-023-37342-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10310703/
https://www.ncbi.nlm.nih.gov/pubmed/37386021
http://dx.doi.org/10.1038/s41598-023-37342-3

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